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Mid Level Data Analytics Consultant Jobs in Virginia

Fairygodboss

Mid-Level Data Scientist

Springfield, VA · On-site

$85 - $110/hr

This team member will collect, process, and perform data analysis and deliver data‑driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events ...

Cim

Health Data Analytics Consultant

Reston, VA · On-site

$92 - $164/hr

The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and ...

GRVTY

Data Scientist - Mid

Springfield, VA · On-site

$100K - $128K/yr

What You'll be Owning As a Mid-Level Data Scientist, you will analyze and interpret complex survey and operational datasets to identify trends, patterns, and actionable insights that support ...

GRVTY

Data Scientist - Mid

Springfield, VA · On-site

$100K - $128K/yr

What You'll be Owning As a Mid-Level Data Scientist, you will analyze and interpret complex survey and operational datasets to identify trends, patterns, and actionable insights that support ...

Zigabyte Corporation

Data Analyst

Quantico, VA · On-site

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Zigabyte Corporation

Data Analyst

Quantico, VA · On-site

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Zigabyte Corporation

Data Analyst

Quantico, VA · On-site

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

BAE Systems

Data Eng II

Reston, VA · On-site

$121K - $145K/yr

As a Mid-Level Data Engineer, you will be responsible for developing dashboards, performing analysis using AI techniques, and providing data preprocessing, quality checks, data integration, and ...

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Mid Level Data Analytics Consultant information

What does a mid level data analytics consultant do?

A Mid Level Data Analytics Consultant helps organizations analyze data to make informed business decisions. They collect, process, and interpret large datasets using tools like SQL, Python, or data visualization software. Their work often involves identifying trends, building reports or dashboards, and advising clients on improving performance based on data insights. With a few years of experience, they bridge the gap between junior analysts and senior consultants by handling more complex projects and mentoring others.

What are the key skills and qualifications needed to thrive as a mid level data analytics consultant?

To thrive as a Mid Level Data Analytics Consultant, you need strong analytical skills, experience with statistical methods, and a relevant degree such as in statistics, mathematics, or computer science. Proficiency with data analysis tools like SQL, Python, R, and business intelligence platforms such as Tableau or Power BI is typically required. Effective communication, problem-solving, and stakeholder management are crucial soft skills that help translate data insights into actionable business decisions. These skills and qualities are essential for delivering valuable data-driven solutions and positively impacting organizational strategy.

What are some common challenges faced by mid level data analytics consultants when working with clients, and how are they typically addressed?

Mid Level Data Analytics Consultants often encounter challenges such as dealing with incomplete or inconsistent data, managing client expectations regarding project outcomes, and translating complex analytical findings into actionable business insights. To address these, consultants typically employ data cleaning techniques, set clear communication channels with clients, and utilize visualization tools to present results in an accessible manner. Building strong relationships with stakeholders and collaborating closely with both technical teams and business units are also key to overcoming these challenges and delivering high-impact solutions.

What is the difference between Mid Level Data Analytics Consultant vs Data Analyst?

AspectMid Level Data Analytics ConsultantData Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; some certifications preferredBachelor's degree in related fields; certifications are optional
Work EnvironmentConsulting firms, client sites, or corporate teams; project-based workIn-house teams within organizations; ongoing data analysis tasks
Employer & Industry UsageConsulting agencies, finance, healthcare, retailMost industries; internal departments
Common Search & ComparisonMid Level Data Analytics Consultant vs Data Analyst

Mid Level Data Analytics Consultants typically work on client projects, providing strategic insights and recommendations, often requiring consulting experience. Data Analysts focus on internal data processing, reporting, and analysis within organizations. While both roles require similar educational backgrounds, consultants often have additional client-facing skills and project management experience, making their roles distinct in scope and environment.

What are the most commonly searched types of Data Analytics Consultant jobs in Virginia?

The most popular types of Data Analytics Consultant jobs in Virginia are:

What cities in Virginia are hiring for Mid Level Data Analytics Consultant jobs?

Cities in Virginia with the most Mid Level Data Analytics Consultant job openings:

Mid Level Data Analytics Consultant jobs near you

Mid-Level Data Scientist

Fairygodboss

Springfield, VA • On-site

$85 - $110/hr

Other

Posted 19 days ago

Key responsibilities

  • Collect, process data and perform data analysis.

  • Integrate, protect and maintain data in DBMS.

  • Perform data conversion/migration.

Job description

Leidos is actively interviewing for a Mid‑Level Data Scientist to join our team in Springfield, VA.

This team member will collect, process, and perform data analysis and deliver data‑driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

We’re looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.

Primary Responsibilities
  • Collect, process data and perform data analysis.
  • Integrate, protect and maintain data in DBMS.
  • Clean, massage and organize data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
  • Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes.
  • Assist with creation/maintenance of tools to extract feature data and meta‑data from a variety of sources, including Raster to vector, vector‑to‑text, text to vector and text database.
  • Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.
  • Assist in providing support to Business Processing Re‑engineering.
  • Perform data conversion/migration.
  • Assist with development and performance of automated Business Analytics.
Basic Qualifications
  • Typically requires a BA degree and 4–8 years of prior relevant experience or Master’s with 2–6 years of prior relevant experience.
  • 1–3 years of experience in data science, including the areas of data collection, processing, exploitation, transformation, services, modeling, and analytics.
  • 1–3 years of experience using Tableau or equivalent Business Intelligence software and software server functions.
  • 3–5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, and familiar with querying with SQL. Knowledge and experience developing code using version control tools like Git and git‑adv, knowledge and data science, including the areas of data services, modeling, and analytics.
  • Active TS/SCI clearance with ability to be approved for a CI Poly.
Preferred Qualifications
  • 1–3 years of demonstrated experience performing geospatial data management, including data type conversions and coordinate systems in latitude/longitude and UTM and their conversions, and knowledge of projections and their properties/conversions.
  • Experience in combining digital cartography, computer technology, GIS cartographic and geospatial production techniques, remote sensing photography and digital data formats.
  • Experience building dashboards/websites portraying data analytics.
  • Experience cleansing, structuring large sets of data.
  • Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and opportunities.
  • Knowledge of ESRI, ArcGIS/ArcPro and ArcServer.
  • Experience with ESRI Workflow Manager, WMX and TAM.
  • Knowledge of database systems and architecture.
  • Ability to write SQL.
  • Understanding of cloud architecture and DevOps.
  • Knowledge of symbolization rules.
  • Knowledge of generalization rules.
  • Experience working with geospatial data in a multi‑user enterprise environment.
  • Minimum 2 years of experience working with data quality control tools, including ArcGIS Data Reviewer.
  • Knowledge of metrics dissemination.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Ability to convert structured data into structured formats.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant laws. Leidos is an equal opportunity employer, including for disabilities and veterans.

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